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The long-term use of antidepressants has increased significantly worldwide in recent decades. Deprescribing and the expertise related to it is an important part of the individual drug treatment optimization, the management of long-term diseases, the avoidance of adverse drug effects and the improvement of treatment outcomes. The aim of this thesis was to examine the information found in the statutory Summary of Product Characteristics (SmPC) and other key information sources for healthcare professionals about antidepressant deprescribing. A qualitative content analysis was conducted on SmPC (n=15) of the antidepressants (escitalopram, mirtazapine, sertraline, citalopram, venlafaxine) selected for the study, three national depression treatment guidelines (Suomalainen Lääkäriseura Duodecim: Depressio Käypä hoito -suositus, American Psychological Association APA: Practice Guideline for the Treatment of Patients with Major Depressive Disorder, United States and National Institute for Health and Care Excellence NICE: Depression in Adults: Treatment and Management, United Kingdom) and one decision supporting deprescribing tool (MedStopper). The content, quantity, and quality of information about antidepressant deprescribing varied between the information sources included in the study. However, the information found in the SmPC and the MedStopper -tool was mostly in line with the information found in the clinical practice guidelines included in the study. Most general information about antidepressant deprescribing or measures that can be used to guide deprescribing was found in the clinical practice guidelines. In all examined sources, antidepressants were recommended to be discontinued in a controlled manner by gradually reducing the dose. However, the recommended duration of the dose reduction varied in different information sources. A detailed dose reduction program was not found in most of the information sources. A detailed dose reduction program was found in only one clinical practice guideline (NICE) and the MedStopper -tool. The continuation of antidepressant treatment after remission and the timing of stopping the medication was discussed in only two clinical practice guidelines (APA and Käypä hoito). However, instructions for action if severe or intolerable discontinuation symptoms appears were found in almost all information sources. Only the clinical practice guidelines mentioned the recurrence of depression as a possible harm when stopping the medication and instructed how to act in the event of a possible relapse. Benefits related to antidepressant discontinuation was not mentioned in any of the examined information sources and only one clinical practice guideline (NICE) discussed barriers related to stopping antidepressants. The information found in individual information sources was insufficient and provided little support for healthcare professionals to guide deprescribing. Current key sources of information for healthcare professionals provide limited information and relatively imprecise guidance on antidepressant deprescribing and how to support the antidepressant discontinuation process. Better randomized clinical trials are needed to develop clearer and more extensive evidence-based guidelines for healthcare professionals on antidepressant deprescribing and to prevent unnecessary long-term antidepressant treatment and patient exposure to possible adverse drug effects.

Microcrystalline cellulose (MCC) is a purified, partially depolymerized cellulose, which is obtained by treating α-cellulose with mineral acids. Ever since the first microcrystalline cellulose was commercialized, different grades of microcrystalline cellulose have widely been used in the manufacture of solid dosage forms, such as tablets. MCC obtained from different sources will exhibit different physico-chemical properties, including moisture content, degree of polymerization, crystallinity, and particle morphology. In wet granulation, microcrystalline cellulose can be used as a filler, binder, and disintegrant. Recently, Aalto University has introduced a novel microcrystalline cellulose obtained from renewable raw materials by an integrated process, which has a short retention time, low energy and chemical consumption. However, very few studies have evaluated the use of AaltoCellTM as an excipient in solid dosage forms. The objective of this study was to evaluate the filler properties of three grades of AaltoCellTM to prepare paracetamol tablets with 50% (w/w) drug load and compare AaltoCellTM with a commercial microcrystalline cellulose, Vivapur 101. Due to the poor flowability of paracetamol and the experimental microcrystalline celluloses, it is challenging to direct compress tablets from paracetamol and microcrystalline mixtures. Thus, the powder mixtures were granulated by high-shear wet granulation method to improve the flowability. After the granulation, the formulations were characterized for particle size distribution, morphology and powder flow. Carr’s index Hausner ratio and angle of repose were calculated to evaluate the flowability of the formulations. In addition, an image-based analysis of powder flow was performed. A rotary tablet press equipped with single punches of 9 mm diameter was used to compress tablets. To evaluate the quality of tablets, European Pharmacopoeia tests of friability, disintegration, uniformity of mass, uniformity of content and dissolution were conducted. The AaltoCellTM A and Vivapur 101 formulations had the smallest particle size, whereas the AaltoCellTM B had the largest particle size. According to Carr’s index and Hausner ratio, the flowability of AaltoCellTM powders and Vivapur 101 varied from poor to very, very poor. After the granulation, the flowability of AaltoCellTM B and AaltoCellTM C were classified as good, while AaltoCellTM A and Vivapur 101 formulations had fair flowability. However, the results were conflicting with the flowability index values obtained in the image-based analysis. According to the results, the AaltoCellTM tablets complied with all criteria of European Pharmacopoeia and were comparable with Vivapur 101 tablets. The average tablet weight deviated ± 3.2% from the target weight. The variations in weight and drug content were small, as indicated by low RSD values. The disintegration time of the AaltoCellTM tablets was between 1-8.5 minutes. In addition, the AaltoCellTM tablets had fast dissolution with 78-84% of paracetamol released within 1 minute. Overall, AaltoCellTM is a promising excipient for use as a filler in tablets. In further studies, characterizing the powder properties, such as morphology, surface properties and hygroscopicity, would provide a better understanding of the properties of AaltoCellTM.

Alcohol use disorder (AUD) is a chronic relapsing brain disorder causing a high burden of disease and significant social and economic consequences to both individuals and society. Alcohol addiction, the most severe form of AUD, is characterized by compulsive seeking and use of alcohol, loss of control over limiting alcohol consumption despite negative consequences, emergence of negative emotional states, and long-lasting vulnerability to relapse related to alcohol abstinence. Powerful craving for alcohol and the chronic, relapsing nature of the disease are major problems complicating recovery from alcohol addiction and predicting poor clinical outcome. Relapse to alcohol intake can occur even after an extended period of abstinence in humans, relapse rates being highest during the first three months of alcohol withdrawal. Associative learning is a critical factor in alcohol craving when alcohol consumption is accompanied by conditioned stimulus. Cues associated with alcohol are known to induce craving and alcohol-seeking behavior increasing the risk of relapse, and this craving can be triggered by alcohol itself, alcohol-associated stimulus, or stress. Chronic alcohol exposure has been linked to changes in synaptic plasticity, neurogenesis and cell-signaling. Thus, elucidating the neural mechanisms that underlie alcohol craving and relapse would help to understand the pathology of alcohol addiction and facilitate the development of efficient treatments. In this experiment, the effects of subanesthetic-dose 10 mg/kg ketamine, an NMDAR antagonist and a major inducer of synaptic plasticity, on cue-induced alcohol-seeking behavior after withdrawal were investigated in social context in female mice. Mice were trained to voluntarily drink alcohol, and a novel methodology to study alcohol-seeking behavior after withdrawal allowed to perform the experiment with a minimum of human interference in totally automated social home cage environment. The analyses of behavioral data showed that pairing sweetened alcohol with conditioned stimulus resulted in cue-induced alcohol-seeking behavior, and no differences in alcohol conditioning were observed between treatment groups. However, the behavioral activity in extinction tests after withdrawal showed that alcohol-seeking behavior was not altered by ketamine treatments. In biochemical analyses, the effects of subanesthetic-dose ketamine on ΔFosB and BDNF protein levels in the brain areas important for alcohol addiction were studied. ΔFosB expression levels in the mouse nucleus accumbens were analyzed with western blot and BDNF protein levels in the mouse prefrontal cortex were determined using enzyme-linked immunosorbent assay (ELISA). The results from biochemical analyses showed that levels of ΔFosB and BDNF were unaltered by ketamine treatments. Anyhow, the experiment provided important insights into the interactions of ketamine and alcohol craving and relapse, a topic that has been insufficiently studied in novel preclinical models.

Immune checkpoint inhibitor (ICI) therapy aims to enhance the endogenous immune response against tumour cells, and it has become a potent treatment option for various types of cancers. Despite the promise of ICIs, most patients do not respond to the treatment. The primary limitation of ICI therapy is the immunosuppressive tumour microenvironment (TME), which is characterised by the lack of tumour- infiltrating cytotoxic T cells (CTLs) and the presence of immunosuppressive cells, such as tumour- associated macrophages (TAMs). A promising immunotherapeutic strategy that can promote antitumor immunity is oncolytic virus (OV) therapy. OVs can selectively replicate in and kill cancer cells, leading to the release of immunostimulatory molecules. These molecules can induce local inflammation and prime and recruit CTLs to the tumour site. In addition, OVs can also be used as a delivery platform for immunostimulatory transgenes that can further enhance the activation of anti-tumour immune response and help to overcome the immunosuppressive TME. Another strategy used to support anti-tumour immune responses and overcome immunosuppressive TME is epigenetic therapy. Epigenetic therapy can reprogram both cancer and immune cells towards a less immunosuppressive phenotype, thus helping to overcome the limitation of immune checkpoint therapy. The aim of this study was to generate a novel oncolytic adenovirus armed with epigenetic modifying transgene (EpiCRAd) to overcome the immunosuppressive TME and enhance the anti-tumour immune response. We tested its efficacy and immunogenicity in vitro and in vivo using a murine triple-negative breast cancer model. We demonstrated that EpiCRAd was able to modulate the epigenome of cancer cells without affecting viruses’ infectivity. Upon examining the potential effect of EpiCRAd on cancer cells, we observed that epigenetic regulation did not notably influence the expression of MHC class I and PD- L1 proteins, both of which play a role in the immune evasion mechanism of tumour cells. In addition, the in vivo experiments show that EpiCRAd controls tumour growth the best, especially together with an immune checkpoint inhibitor, suggesting that the virus was able to create an immune microenvironment more favourable for anti-tumour response. Interestingly, the TAM infiltration in the TME seems to reduce after treatment with EpiCRAd. Overall, the combination of epigenetic therapy with oncolytic virotherapy has shown promising results in converting immunotherapy-resistant tumours into immunotherapy-responsive tumours. Our findings provide valuable insights into the effect of EpiCRAd on cancer and immune cells. This study encourages exploring the use of epigenetic cancer remodelling and oncolytic viruses for cancer immunotherapy.

Medical devices play a crucial role in healthcare, yet their importance is underscored by the potential for adverse events that can lead to serious consequences for patients and users. As a result, manufacturers of medical devices are required to actively monitor the safety and performance of their devices after placing them on the market. In response to incidents involving medical devices and their safety, the European Union Medical Device Regulation (MDR) came into force in May 2021, bringing more emphasis to the post-market surveillance (PMS) of medical devices. In this study, the current state of the post-market surveillance system of medical device manufacturers in Finland was investigated by conducting an online questionnaire in 2023. A total of 30 medical device companies participated in the questionnaire for a return rate of 17%. The dataset included manufacturers of different sizes, producing medical devices of all risk classes. To identify differences in the use of post-market surveillance data sources between different types of companies, the two-sided non-parametric Kruskal-Wallis-Test was used. The rest of the data was analysed using descriptive analysis. The post-market surveillance data sources with the highest reported intensity of use included customer complaints and feedback, production monitoring, and regulatory intelligence monitoring, while Post Market Clinical Follow-up and health services research were used significantly less. Significant differences between manufacturers of different device risk classes were identified for three data sources; manufacturers of higher risk class devices were found to utilize these data sources to a higher extent than manufacturers of low-risk devices. The manufacturers of medical devices seem to utilise reactive post-market surveillance data consistently to a high extent. On the other hand, the results suggest that proactive post-market surveillance methods remain underutilised despite the introduction of the MDR. Medical device manufacturers also use post-market surveillance data sources to different extents, in particular with respect to the medical device risk class. Overall, the results indicate that the MDR is bringing more emphasis on post-market surveillance, which in turn has increased the workload of medical device manufacturers.

Physiologically based pharmacokinetic modelling (PBPK) can be used to predict pharmacokinetic behaviour of new drug molecules in human. PBPK model represents the body anatomically and physiologically with compartments connected to each other and combines those to drug specific parameters. PBPK modelling can be used to predict the absorption, disposition, and time-concentration profiles of drug molecules. The purpose of the study was to build a PBPK model for new drug molecule under research (compound A) and predict pharmacokinetics in human, to support the selection of dosing interval, formulation, and sampling time points for the first clinical trial. In this work it is described the building of the model in the ”bottom-up”-approach using in vitro parameters in GastroPlusTM-software. The modelling was done also for preclinical species (mouse, rat, dog) comparing the simulations to the observed in vivo data, which gave the confidence to the methods used in the modelling also for human. The model was first built for systemic kinetics and thereafter it was used for predicting pharmacokinetics after oral dosing. Parameters of systemic kinetics were compared also to the predictions from allometric scaling. Based on the preclinical species the most predictive method for the volume of distribution of compound A was the method by Lukacova, which predicted the volume of distribution to be moderate in human (1.7 l/kg). From the in vitro-to-in vivo -extrapolation methods the most predictive method to predict the clearance was the method by Poulin, which predicted low clearance in human (8.1-14.3 l/h). Empirical scaling factors based on the preclinical data were not needed, as the models predicted well the observed in vivo data. Allometric methods predicted the systemic kinetic parameters to be in the similar range. Advanced compartmental absorption transit -model (ACAT) integrated to GastroPlusTM-software predicted the absorption after oral dosing well in the preclinical species (predicted/observed ratio 0.8-1.3 for systemic exposure) despite the low solubility of the compound A. The model predicted the absorption in human to be sensitive to particle size and absorption rate to be clearly affected by the particle size. The feeding status was also predicted to affect on the absorption with larger particle sizes. The gut metabolism was not predicted to limit the oral exposure notably, whereas moderate bioavailability was predicted to be achievable. Compound A could be given in a capsule if the target particle size distribution could be achieved. The built PBPK-model can be used in the future to predict the first clinical doses by comparing the predicted plasma concentrations to in vitro pharmacodynamic parameters and to the plasma concentrations needed for efficacy in the pharmacodynamic models. The model can also be used to predict the drug-drug interactions.

Prolyl oligopeptidase (PREP) is endopeptidase which cleaves short proline containing peptides. Abnormalities in brain PREP activity has been connected to neurodegenerative diseases. Recently it has been detected that besides its proteolytic activity PREP interacts directly with other proteins which might contribute to generation of neurodegenerative diseases. Further it has been discovered that certain small molecular PREP inhibitors are able to modify these protein-protein interactions (PPIs) and thus have a potential to alleviate the progression of neurodegenerative diseases. This has led to the development of novel second generation PREP ligands which lack the strong inhibitory activity but are potent compounds on modifying the PPIs. Thiazole structure containing PREP modulators has provided most promising class of compounds. It has been detected that these compounds mediate their effects via novel binding site on the enzyme and these effects are not connected to the inhibition of the enzymatic activity. The synthesis of these thiazole containing PREP modulators has proven to be demanding since it have involved a usage of laborious synthesis route and provided low yields. The aim of this research was to examine the synthesis of 2-(2-benzimidazol-1-yl)ethyl)- 4-methyl thiazole containing PREP modulators via previously reported synthesis route. Another aim was to design and develop a synthesis route for 2-(2-(benzimidazol-1- yl)ethyl)-5-bromo-4-methylthiazole, a molecule which serves as valuable intermediate for the lead optimization and generation of second-generation PREP modulators. A synthetic route for 2-(2-(benzimidazol-1-yl)ethyl)-5-bromo-4-methylthiazole was successfully developed. Despite that the total yield of the route remained low. When searching the reasons for the low obtained yield the chemistry behind a thiazole creating cycloaddition reaction and an aromatic halogenation was examined. This led to the discovery of a rare cationic compound which was found to be synthesized from previously undescribed starting materials.

Orexin receptors have gained more attention due to increased knowledge of their physiological significance. The successful development of orexin receptor antagonists treating insomnia has enlarged the scope of research leading to an interest in developing small molecule agonists that have drug-like properties and induce activation in the orexinergic system. Transforming this idea into reality has remained an unaccomplished challenge. In this work, molecular mechanism of activation in orexin receptor type 2 is studied by conducting molecular dynamics simulations after capturing coordinates of active and inactive state crystal structures. The crystal structure coordinates define the starting pose for the protein and the ligand in the simulations. Preliminary steps prior to simulation include building the surrounding system and model building in which homology modeling is employed to reconstruct missing loops. A 100-nanosecond simulation is executed for both models. Active and inactive state models display stable binding event characteristics when examining the coordinate changes of every atom during the simulation. No major conformational changes are observed. The most congruent feature relative to the literature is the difference in the interactive role of residue Q3x32 between the simulations. The agonist forms two consistent hydrogen bonds with the upward-shifted Q3x32 while an inactive downward-facing version is observed in the antagonist model. Some residues present unexpected features omitting comparative functions of literature, which along with general inconsistency of protein-ligand contacts undermine the reliability of models heavily. The simulations conducted need to be extended to produce a hypothesis for the activation mechanism because of the defects around simulation protocols and the low quantity of simulation runs.

Chlamydia pneumoniae is an intracellular Gram-negative bacterium, that can cause respiratory infections. Infections are typically mild or asymptomatic, but it can also lead to more severe infections, for example, pneumonia. Severe infections might need antibiotic treatment. When the bacteria are exposed to stressful conditions, they can change to a chronic, persistent form. Amoxicillin and penicillin are known to transform bacterium into persistent forms. Antibiotics are not effective for persistent infection very often. Amoxicillin is the recommended treatment for pneumonia in Finland and worldwide, which is problematic from the perspective of C. pneumoniae. That is why there is a need for effective treatment for persistent C. pneumoniae infection. Probiotics and their by-products short chain fatty acids (SCFAs) are known to have beneficial effects on human health. Based on the current knowledge, SCFAs and other probiotic by-products are known to inhibit pathogen bacterial growth. Thus, SCFAs could have a potential effect on the treatment of C. pneumoniae infection. The aim of this work is to study the impact of SCFAs, acetate, propionate, and butyrate on C. pneumoniae infection and its antibiotic susceptibility. To study the impact of acetate, propionate and butyrate on C. pneumoniae infection and its antibiotic susceptibility, three different infection models were used: productive C. pneumoniae infection model with A549 cells, amoxicillin-induced persistent infection model with A549 cells, and persistent infection model with THP1 cells. Bacterial growth was followed with immunofluorescence and the number of the bacterial genome was studied with quantitative polymerase chain reaction (qPCR). The studied SCFAs did not have a significant impact on productive C. pneumoniae infection. With amoxicillin- induced persistent infection, the results were varying. For example, sodium acetate, and propionate showed some increase in bacterial growth on the first infection, but with sodium butyrate, there were not any impact. The only SCFA that decreased the bacterial growth in the persistent infection model with THP1 cells was sodium butyrate (200 μM). The same treatment also decreased the number of bacterial genomes with qPCR in the same infection model. In addition, the same condition increased the antibiotic susceptibility of persistent C. pneumoniae to azithromycin in THP1 cells. In conclusion, the studied SCFAs seemed to have more impact on C. pneumoniae infection with human immune cells compared to human lung epithelial cells. Based on this study, sodium butyrate could have positive impacts against persistent C. pneumoniae infection. Nevertheless, further studies of the impact of sodium butyrate on persistent C. pneumoniae infection are needed.

Alpha-beta-hydrolase domain containing proteins (ABHD) are involved in lipid metabolism and its regulation in human and animal cells. Approximately 50 of these proteins have been identified and their physiological and pathophysiological functions are still further investigated. ABHD2, ABHD3, ABHD4, ABHD5, ABHD6, ABHD12 and ABHD16 are involved in the metabolism of glycerin esters and phospholipids, in particular lipid mediator 2-arachidonoylglycerol (2-AG) and its metabolites have a significant effect on neuroinflammation via the endocannabinoid system. ABHD12 and ABHD16A were at the center of focus in this thesis as enzymes regulating phosphatidylserine and pro-inflammatory lysophosphatidylserine. In this study, toxicity of five (5) abietane terpene derivatives was tested using mouse E15/16 prenatal cortical neurons, cultured in 96-well plates. There were totally 8 plates cultured in three different batches, 60 cell containing wells per each plate. Wells from each plate were divided into treatment groups of 17, three concentrations of every five compound, control and VEH groups. Those concentrations were 0,1 µM, 1 µM and 10 µM, and for the last two plates 1 µM, 10 µM and 100 µM. Treatment was also separated into three batches like the cell culturing. After treatment, number of living cortical neurons in each treatment groups were counted. For that, cells were treated with immunofluorescent NeuN and DAPI antigens and the fluorescence was imagined with automated microscope. CellProfiler was used to recognize and count the number of living cortical neurons. Immunofluorescent MAP2 antigens were also used but because the shape of MAP2-fluorescing cells, CellProfiler could not recognize them. Intensity of MAP2-fluorescence were measured from those imaged, so the work would not be wasted. One-way ordinary variance analyze ANOVA was carried out for the data to figure out if there were statistically significant results. For compound TAC174, there were several significant results with different concentrations but unfortunately, some results showed signs of toxicity and others improved cell-growth. Some significant results were also found with compounds TAC121, TAC147 and TAD40 showing sings of toxicity, but reliability of those results was questioned. Only one compound, TAC150 was not showing clear toxicity towards mouse cortical neurons, at least with lower concentrations. For conclusion, there were no clear or significant results if these compounds are toxic for cortical neurons. TAC150 showed the least sings of toxicity, therefore it could possibly be considered for further studies in medical field.